datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rl-game-traces-monster-hunter-world
怪物猎人世界
This public dataset repository contains gameplay trace data uploaded from F:\怪物猎人世界.
Contents
Files: 485
Total local size: 374.86 GB
Generated: 2026-06-08T09:49:30+00:00
File Types
.jsonl: 148
.png: 114
.json: 112
.parquet: 37
.mkv: 37
.txt: 37
Notes
This repository may contain gameplay video, Parquet files, JSON/JSONL metadata, and input event logs.
The license is marked as other; review game footage, audio, and asset… See the full description on the dataset page: https://huggingface.co/datasets/yinhuankuang/rl-game-traces-monster-hunter-world.phospho-playground-mono
phospho-playground-mono
This dataset was generated using the phospho cli
More information on robots.phospho.ai.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
galahad-deconf-relation
Deconfounded relation set (RoboCasa)
Part of the Galahad release · Project page · Code + battery + generator
624 episodes; relation ⟂ position: anchor and target slots randomized, so "next to" / "far from" the anchor — not any remembered slot — predicts the target.
LeRobot v2.1 format. Generated by generator/collect_rc_relation.py in the release repo; the generator produces the exam (the battery) and the medicine (the training set) from the same code. This public copy is a… See the full description on the dataset page: https://huggingface.co/datasets/phi-monster/galahad-deconf-relation.lion-responses-to-aerial-monitoring-dataset
Curated by: Elena Iannino
Language(s): English (metadata and documentation)
Dataset Overview
This dataset contains multi-modal UAV-based wildlife observations collected in Ol Pejeta Conservancy, a privately managed conservation area in central Kenya. The primary target species is the African lion, observed within open savannah and bushland ecosystems.
The dataset includes synchronized RGB and thermal video recordings captured using a UAV platform… See the full description on the dataset page: https://huggingface.co/datasets/EIannino/lion-responses-to-aerial-monitoring-dataset.galahad-deconf-negation
Deconfounded negation set (RoboCasa)
Part of the Galahad release · Project page · Code + battery + generator
517 episodes; negation ⟂ keyword matching: positive and negated instructions over matched scenes, so "not the apple" and "the apple" select different objects and noun-matching scores at chance.
LeRobot v2.1 format. Generated by generator/collect_rc_negation.py in the release repo; the generator produces the exam (the battery) and the medicine (the training set) from the… See the full description on the dataset page: https://huggingface.co/datasets/phi-monster/galahad-deconf-negation.galahad-deconf-ordinal
Deconfounded ordinal set (RoboCasa)
Part of the Galahad release · Project page · Code + battery + generator
504 episodes; ordinal ⟂ absolute position: lineups with randomized spacing and slots, counted from the left, so the rank word — not any absolute position — predicts the target.
LeRobot v2.1 format. Generated by generator/collect_ordinal.py in the release repo; the generator produces the exam (the battery) and the medicine (the training set) from the same code. This… See the full description on the dataset page: https://huggingface.co/datasets/phi-monster/galahad-deconf-ordinal.MonocularSamples
DatraAI monocular camera-IMU sample
Episodes: 6
Raw bytes: 1351783147
Total camera-duration seconds: 537.833334
Scope
This dataset contains six monocular camera-IMU episodes. Four are complete source episodes. Episodes 000004 and 000006 contain the first 120 seconds of recording2 and recording4.
The two clips preserve the original encoded video frames. Their native VTS and IMU sidecars were shortened to the same camera interval. Sensor values were not interpolated… See the full description on the dataset page: https://huggingface.co/datasets/datraailab/MonocularSamples.put_money_in_safe_25_08_21_lerobotv2.1monkey-panorama-track-v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 10,
"features": {
"observation.image": {
"dtype": "video",
"shape": [
512,
512,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 512… See the full description on the dataset page: https://huggingface.co/datasets/durgachauhan/monkey-panorama-track-v3.galahad-deconf-compositional
Deconfounded compositional set (RoboCasa)
Part of the Galahad release · Project page · Code + battery + generator
504 episodes; attribute conjunction (size × colour) with single-attribute foils: each foil matches the target on exactly one attribute, so neither word alone identifies it.
LeRobot v2.1 format. Generated by generator/collect_rc_compositional.py in the release repo; the generator produces the exam (the battery) and the medicine (the training set) from the same code.… See the full description on the dataset page: https://huggingface.co/datasets/phi-monster/galahad-deconf-compositional.galahad-deconf-colour
Deconfounded colour set (RoboCasa)
Part of the Galahad release · Project page · Code + battery + generator
506 episodes; colour ⟂ position ⟂ shape: every colour appears as target and as distractor across randomized slots and shapes, so only the colour word predicts the target.
LeRobot v2.1 format. Generated by generator/collect_rc_colour.py in the release repo; the generator produces the exam (the battery) and the medicine (the training set) from the same code. This public… See the full description on the dataset page: https://huggingface.co/datasets/phi-monster/galahad-deconf-colour.simple-lego-pickup-mono-2
simple-lego-pickup-mono-2
This dataset was generated using a phospho dev kit.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
simple-lego-pickup-mono-train
simple-lego-pickup-mono-2
This dataset was generated using a phospho dev kit.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
hackathon-monday-pick-cubered-mono-pickup
lego-pickup-mono-red
This dataset was generated using a phospho starter pack.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
cooking-videos-with-captionsDataset of cooking videos obtained from pexels.com. Captions have been generated using AI.
APAC-Egocentric-Monocular-Labeled
APAC Egocentric Monocular (Labeled)
Twelve labeled egocentric work sequences from industrial, hospitality, logistics and retail settings, released as hand-tracking and head-tracking renders with 252 densely captioned 3-second action segments.
Preview: polishing a car in an automotive garage — hand-tracking render, downscaled to 720p.
At a glance
Samples
12
Total duration
12 min 09 s (~61 s each)
Resolution
1920×1080 @ 30 fps
Action segments… See the full description on the dataset page: https://huggingface.co/datasets/humyn-labs/APAC-Egocentric-Monocular-Labeled.VLA_JEPA-on-liberosimple-lego-pickup-mono-2
simple-lego-pickup-mono-2
This dataset was generated using a phospho dev kit.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
vgg-monoaudio
VGG-MonoAudio
A curated evaluation benchmark designed for text-conditioned selective video-to-audio (V2A) generation.
VGG-MonoAudio overview.
TL;DR
VGG-MonoAudio comprises triplets of video (featuring multiple visible sound sources), text (identifying the target source), and audio (containing only the clean, isolated target sound).
It is constructed by visually mixing single-source clips from VGGSound and UnAV-100 while retaining only the specific… See the full description on the dataset page: https://huggingface.co/datasets/jnwnlee/vgg-monoaudio.G1_pnp_monkeyThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Unitree_G1_Inspire",
"total_episodes": 50,
"total_frames": 13163,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/BrunoM42/G1_pnp_monkey.simple-lego-pickup-mono-valid
simple-lego-pickup-mono-2
This dataset was generated using a phospho dev kit.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
mon_dataset_V11This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 20,
"total_frames": 8086,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LohanBTS/mon_dataset_V11.mono-india-workplace-sample
World Archive Mono — India Workplace Egocentric Manipulation
Ground-truth egocentric manipulation from the Indian real economy — robot-ready labels, not just video.
A public evaluation sample from World Archive. We run managed, consent-first egocentric capture at real Indian workplaces — factories, kitchens, repair bays, workshops — and ship a full annotation stack built for training and evaluating manipulation policies, VLA models, and world models.
Clips
9 (~48… See the full description on the dataset page: https://huggingface.co/datasets/WorldArchive/mono-india-workplace-sample.G1_pnp_monkey_only_rightThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Unitree_G1_Inspire_Only_Right",
"total_episodes": 50,
"total_frames": 13163,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/BrunoM42/G1_pnp_monkey_only_right.monitors-replay-attacks-datasetThe dataset consists of videos of replay attacks played on different models of
computers. The dataset solves tasks in the field of anti-spoofing and it is
useful for buisness and safety systems.
The dataset includes: **replay attacks** - videos of real people played
on a computer and filmed on the phone.3_Card_Monte_Dataset_3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "dual_so101_follower",
"total_episodes": 35,
"total_frames": 33673,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:35"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nhmacwan/3_Card_Monte_Dataset_3.real01b-marker-d2-umirel-schemep-mono-SMOOTHNESS-PROBE5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
7
],
"names": [
"cart_pos_x",
"cart_pos_y",
"cart_pos_z",
"cart_rot_x",
"cart_rot_y",
"cart_rot_z"… See the full description on the dataset page: https://huggingface.co/datasets/ankile/real01b-marker-d2-umirel-schemep-mono-SMOOTHNESS-PROBE5.ny_test_frames_mono_20This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 20,
"total_frames": 9305,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 60,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/1g0rrr/ny_test_frames_mono_20.monochr0me_style_dataset